Join Saviynt's AI Security team as a founding member and enable the company to build out AI security for leading enterprises. Work on designing, implementing, and testing e2e workflows for the AI security product, and use AI and agents to secure AI.
Requirements
- 10+ years of software engineering experience
- Expert-level ability utilizing technologies such as Java, Spring Framework, REST, and Microservices
- Familiarity with AI tools and curiosity about MCP, A2A, Agentic frameworks
- Strong Experience as a Java Engineer developing applications based on Security principles, cloud platforms (AWS, Azure, or Google Cloud), and Containerization (Docker, Kubernetes)
- Deep understanding of data structures, algorithms, and design patterns
- Hands on experience with SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka
- Experience in increasing levels of responsibility managing application development, solution architecture, design and delivery, and process improvement
- Experience with unit, functional and system integration testing
- Extensive understanding of working in an agile environment utilizing Scrum and Kanban
- Experience with Git (GitHub/GitLab), automatic deployments, continuous integration
- Hands on experience using IntelliJ or Eclipse/My Eclipse IDE, writing Junit test cases, working with Maven/Ant
- Experience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistants
- Familiarity with various architectural patterns (e.g., event-driven, microservices, serverless) and their trade-offs